Bernard

AI employees that run home appliance repair companies

2.8Score#402 of 999 agents#18 of 42 in Receptionist

Why it ranks #402

Bernard, an AI receptionist from YC S26, ranks #402 of 999 AI agents and #18 of 42 in Receptionist, with a score of 2.8 of 10. Data as of 3 Oct 2026.

The score adds four parts, each 0 to 10, by weight. Every point comes from public evidence. How scoring works ·

Proof 0 × 30% 0.0
Scale 3 × 30% 0.9
Momentum 4 × 25% 1.0
Autonomy 6 × 15% 0.9
= 2.8

Proof
Do customers use it? 30% of the score
0
No public claims of customers or revenue yet.
Not found: revenue or growth (+4), named customers (+3), a customer result (+2), a customer count (+2), work done at scale (+2)
Scale
Is there a real company behind it? 30% of the score
3
9 people.
- +3
  9 people on its YC page5 to 9 people
Not found: funding round in its news (+3)
Momentum
Is it shipping and growing now? 25% of the score
4
Shows a recent launch and a new batch.
- +3
  Launched in the last 6 monthsBernard: AI front and back office for appliance repair companiesLaunch YC post · 20 Aug 2026
- +1
  New: YC Summer 2026
Not found: open roles on YC (+2), new traction claim in the last 6 months (+2), funding news in the last year (+2)
Autonomy
How much of the job does it do on its own? 15% of the score
6
Supervised agent: takes actions in other systems; a person approves key steps.
- +6
  Level 2 of 4: Supervised agentTakes actions in other systems; a person approves key steps.
What the model read
- Acts in other systems: 92% likely
- Finishes whole tasks: 19% likely
- Calls itself an agent: 94% likely
Level 2: Takes actions in other systems; a person approves key steps.

About Bernard

Bernard builds AI employees for home and commercial appliance servicers. They work across phone, text, email, warranty feeds, and existing systems to manage customer communication, scheduling, and dispatch, carrying each job through diagnosis, parts preparation, technician handoff, and follow-up. At the center is Pre-ID, which combines the exact appliance and its symptoms with repair history, similar completed visits, manufacturer guidance, and parts data to produce a diagnosis, ranked parts, and follow-up questions. Technicians arrive prepared with the right parts, helping servicers complete more repairs on the first visit.

We’re building the world’s most efficient appliance servicers, creating happier customers and a more connected appliance ecosystem.

Learn more at https://bernardhq.com/